Integrate the Paystack API with the Python API

Setup the Paystack API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Paystack and Python remarkably fast. Free for developers.

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Popular Paystack and Python Actions#

Charge Authorization with the Paystack API

Charge a reusable authorization. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Fetch Transaction with the Paystack API

Fetch a single transaction. See the documentation

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Initialize Transaction with the Paystack API

Initializes a new transaction on Paystack. See the documentation

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List Transactions with the Paystack API

List transactions carried out on your integration. See the documentation

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Overview of Paystack#

Paystack is a payment gateway that allows businesses to accept payments online from customers. With the Paystack API, you can automate invoicing, verify transactions, manage customers, and more. On Pipedream, you can integrate Paystack with a multitude of other apps to build powerful workflows, such as syncing payment data with accounting software, triggering events based on transaction status, or automating customer outreach.

Connect Paystack#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    paystack: {
      type: "app",
      app: "paystack",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.paystack.co/customer`,
      headers: {
        Authorization: `Bearer ${this.paystack.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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